← All roles

Security Architect, AI Infrastructure

Fluidstack· Security & Corp IT
Apply on company site
San Francisco, CA, New York, NY, Austin, TX, U.S. Remote, Seattle, WA$275k - $344k + equityFull-timePosted today

About the role

Role focused on designing and securing frontier AI compute infrastructure, including model weights custody, training environments, accelerators, and multi-tenant boundaries. Own security program end-to-end from bare metal to boardroom, with emphasis on architecture, threat modeling, and scaling security as AI infrastructure expands.

Responsibilities

  • Own the attack surface unique to frontier compute: model weights custody, training environment isolation, accelerator and interconnect security, and multi-tenant boundaries under real adversarial pressure.
  • Design the reference architectures and standards that security engineering builds to, keeping the seam between design and build clean enough that both sides move fast.
  • Treat the workload as part of the threat model, and architect environments that stay defensible even when the thing running inside them is the adversary.
  • Run security design review for the systems that touch training and inference environments, from bare metal and fabric to scheduler and storage.
  • Track where frontier compute is going (new accelerators, interconnect generations, confidential computing, agentic workloads) and have the architecture ready before it lands.

Qualifications

  • You've secured AI, ML, or HPC infrastructure where the assets were genuinely worth stealing: lab infrastructure security, supercomputing centers, or research environments that drew nation-state attention.
  • You can architect isolation at every layer it exists: hardware, firmware, hypervisor, kernel, container, network fabric, and physical.
  • You understand AI compute infrastructure as a system (accelerators, high-speed interconnects, parallel storage, schedulers) and know where each component breaks a classical security assumption.
  • You've done original work in systems or ML security, published or shipped, and can turn research into architecture that engineers actually build.
  • You defend design decisions in review on their merits, and change them when someone closer to the metal proves you wrong.
  • Bonus: Confidential computing and attestation depth. Weights custody or cryptographic key custody at scale. A publication record in systems or ML security.

Skills

Required:Security architectureThreat modelingHardware and firmware isolationAI compute infrastructure systemsSecurity review and governance

Benefits

  • Equity
  • Competitive base compensation
  • Benefits
Last updated Oct 27, 2026. Interested? Apply on the company site.
Fluidstack logo

About Fluidstack

Fluidstack builds civilization-scale infrastructure for AI

Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.

AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
Company profileWebsite

More open roles at Fluidstack